Received: 9 October 2018 | Revised: 3 May 2019 | Accepted: 6 May 2019 DOI: 10.1111/faf.12379 ORIGINAL ARTICLE Mapping the global network of fisheries science collaboration Shaheen Syed1,2 | Lia ní Aodha2 | Callum Scougal3 | Marco Spruit1 1Department of Information and Computing Sciences, Utrecht University, Utrecht, The Abstract Netherlands As socio‐environmental problems have proliferated over the past decades, one nar‐ 2 Centre for Policy Modelling, Manchester rative which has captured the attention of policymakers and scientists has been the Metropolitan University, Manchester, UK 3Centre for Environment, Fisheries and need for collaborative research that spans traditional boundaries. Collaboration, it Aquaculture Science (Cefas), Lowestoft, UK is argued, is imperative for solving these problems. Understanding how collabora‐ Correspondence tion is occurring in practice is important, however, and may help explain the idea Shaheen Syed, Department of Information space across a field. In an effort to make sense of the shape of fisheries science, and Computing Sciences, Utrecht University, Princetonplein 5, 3584 CC, Utrecht, The here we construct a co‐authorship network of the field, from a data set comprising Netherlands. 73,240 scientific articles, drawn from 50 journals and published between 2000 and Email:
[email protected] 2017. Using a combination of social network analysis and machine learning, the work Funding information first maps the global structure of scientific collaboration amongst fisheries scien‐ H2020 Marie Skłodowska‐Curie Actions, Grant/Award Number: 642080 tists at the author, country and institutional levels. Second, it uncovers the hidden subgroups—here country clusters and communities of authors—within the network, detailing also the topical focus, publication outlets and relative impact of the largest fisheries science communities.